This is a multi-part message in MIME format. --------------080004070206040605050201 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit This time with the attachment.... ;-) Sorry. It really was in the first mail, bust have been because it was pasted in rather than attached. Rolf Rolf wrote: > Sean Breheny wrote: > >> Hi Rolf, >> >> Could you either post or send to me directly your schematic? It sounds >> like what you are trying to do should work properly. I've never used >> the MCP6044 but I took a quick look at the datasheet and it looks >> fine. >> >> For future reference, my favorite op-amp for general purpose stuff is >> the LMC648x (6482 is a dual, 6484 is a quad) from National. It is not >> cheap (about $5) so it is not a good choice for most inexpensive >> commercial applications, but for hobbyist one-offs it can't be beat. >> It is rail to rail input and output, ultra-low input bias current, max >> 1mV input offset voltage, pretty low noise, 1 MHz gain-bandwidth >> product. The MCP6044 seems to trade off GBW product for supply current >> (it has about 1000 times less supply current than the LMC6482 but also >> almost 100 times slower). >> >> Sean >> >> >> On 5/5/07, Rolf wrote: >> >> > > > The top is a simple voltage follower. In my case I am getting erroneous > output at low input voltages. Specifically, the charger is currently > charging at 12.5mA as measured with one DMM. Another DMM measures the > output of the charging chip at 12.7mV (pretty close...). The same DMM > that measures 12.7mV on the charge chip output (input to the follower), > reads 1.5mV on the op-amp output. It should be 12.7!!! If I put a load > on the op-amo out (255R to ground), the opamp out measures 2.1mV. Still > very wrong. > > In the second circuit, I tried to set up a "difference" circuit. The > theory is that the output should be (4.5V - input) * (100K/200K). Or, an > "Amplified difference" with a 2x gain. I was figuring I could correct > the inversion using math on the A/D module. > > The problem with the second solution is that the output of the opamp is > 'pushing' back against the input signal. Currently the charge signal is > 12.3mV (I type slowly, it has charged a little more). But, when I > connect it to the op-amp circuit, it rises to 20.2mV, and the out put of > the opamp, which I expect to be about 24.6mV less than 4.5V, is actually > 2.36V. So, I am confused ;-) > > From the charger's datasheet they make it clear not to load the signal > in any way.... and the second circuit obviously messes with it. > > My original circuit was circuit 3. A simple gain amplifier with gain of > 2. This woks fine for larger values of the input signal. > > I am investigating other options and Jinx's negative rail (but I will > have to use a different op-amp I think). > > Rolf > --------------080004070206040605050201 Content-Type: image/png; name="opamps.png" Content-Transfer-Encoding: base64 Content-Disposition: inline; filename="opamps.png" iVBORw0KGgoAAAANSUhEUgAAAcYAAAKcCAIAAAD9/Y1yAAAACXBIWXMAABcSAAAXEgFnn9JS AAAgAElEQVR4nO3d2XKjyBYFUHSj/xv4cu4DLoyZxHAYMlkrKtwWRhJlSrtPDiSfpmkK4Byf +lMURVP6lL3F/+4+AIB8iFSAMCIVIMx/dx8AvFrb2dppyuZTfyb7Xue28ygiFW4mKHOi4Q8X GRSkc9pCdfxcyZsEkQq3EZT50fCHO/UL0i5eBz2qkjchIhVO1+Vm900/Pfu7ic7UiVQ4XRuU 48QUoPnRlwpP1A1SKV3TIlLhNivnAJAQkQoXWS42J7sFlKjJ0ZcKt5mcgkrSRCrcabkIVaIm R8MfIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQjjglQIU9f1wvayLK89HG7w aRoXEUOYuq770dmuiuJS/ffQ8IdIZVnO1aq8gSoVTqRKfRtVKkAYkQoQRqRCpH5Have93tX3 EKmwzSAfBxk6OVPKmNV7GJ6CDSZDs9s4zs2qqLqvhampL6BKhUjlP0UvQAcPyZirpyDMXAN/ rkOA/Gj4wzaDfFyOS/NS30akwmb9UnS5/BSpbyNSIdIgbUXq2+hLhW0WGv7jH119cNzNiD9s MO45NeeUPpEKEEakAoQRqbDBuJlvzil9Rvxhs7lJVMsXpEreNxCpcCKTqN5Gwx82qOva+D4L VKmw2fo7nqpS30akwk5rglWkvo1IhUOWg1Wkvo0LUmGn9c1/3kOkkozB1fTtN8vr7M3ttua5 y0dSCFMmNZCIqqoG3ww29rcv7Db4OvnchWNYu2fx7+4oRVH5oL2GSVQkZlBOdjd9Gteng93G k5/mnruguwnK0hF+PvXns2Yj+RGp5GBNJnY3gGqzdbL5f9DX3JSq2ROp5K/+p304yNYzlE3T /imqoqiKsjevRqrmzfAU+Zu7I/QOcy9SlmWXleXUxMSyaYTpG6hSScygulzKuL+7hQRrV+EO rHruv6iVrRlTpZKeflwuxNnkbv2+1H29qO0rzD13skTlPVw9xRudschpW3sOIvXz+RRF0Yzq U8mbKw1/3uhIno6XoD58OORDpMIGX2/nN+gnrXoT/nkDkQoX0ep/A5EKMZYH9I3yv4RIhQ1W 3s5vcBlV/3slat6M+MNmc7fzK75Vo/I0eyIV4k0Gqzx9A5EKGyxcrDW9/9RkVTImUuFEIvVt DE8BhBGpAGFEKkAYkQoQRqQChLFeKrj6njCqVPjlPqYcJFJh6EiwWj715Uz1JwcLF92venpv Qv4gTBe6ApbT8+dWV6b6v4xInfWpP0153S/nU/9+kvvvG34YF/+9LjBYC2rHTVDGwbcyWNtU XXh3kfo2hqeus5Blgx/1H2YWf2cIv4tUMapY55Kxf9fVMw6D5IjU+42jtimb/GrJFO0IVl5O pH7XplvXMO+Sbnn75NPbr2uycvLV+u/VbZ87jGK+MyFLa25DvY9gZT2Rusog175+P7ZceE4G 4vIxfD28hc6ELHVJesYNpYuNwcpridRV5sIoJKQm68rlV+6XpXM75x2gd1kZrLyWeanP0pRN +2dQh+72aedYBr0aRVsFN81gesCfO031jJ/7dctg+9xTvj6RW4jUnLWN/fbP3cdyoutD5GeI fypY226Hztxzd7wdSRCp9zuphMy+87TT3rW0c0FvZv8+qWXTFFX1+7Oq+nJHv9E9Vje93fLG a/76LNCXesjX2FoZl1uHkramcPYN/9tzRB8rLVXqIW2nZ/unPzl/vLE12a3ZdZ7OPevry64/ NqJMF5tVtXAJ1pfnbn+7wUYl6hOoUqf1p5EWU5OWxtsnK8HB6yzsubDDeP+Vh7dy/2RU3ZdH G68VUH8+KtaXUKXCTsvF5vKsgHGBOTlD4OvbdRuVqA+hSp22pqV8fYP6VVdDTTgtMc5bI7Vs mrquf8evqqr+2znws5s0zIUqdb/rQ62bEfXGPH2kQeU4LiR/5lRNVayxPapfQ9lMrGuIVDhk kGULM7oG063qz+fP7Ktdb7eSPL2M9VLhhjlP6xe6Dnivul5ZyXKcKhVusDx4FfxekvRCIhVu c2Wwcg2RCjcTrDkRqfAIgjUP5qXCIQs3Zx2PCHUjRePXafe0VkDqRCrst+/mrF9vQCBY06Xh DzuNA3HH7P0FOXUF9FcFuvtYziVS4dGigvXGqVRblw1KmkiFBORUseZNXyokY7KPNVz15z+n OKlQfcLaF6pUSIni9OFUqZCGy5YFCO9znbyTRfSbPIVIJQcLk0PPM16LZLj01N8ddi9ccuUa K2cY3EQ94zwtRCoZ2Dc5NMR4vdSFHXYcVeph2mljNO+x/pbF/cjNjkh94Fz6bMK0r41UVSpw nSzD9D1EKjyFMM2ASCUria5dL0yzIVLJR4p5KkwzY6o/mbgsT7sR/PEKKe2WuZVThjdP/XtR 6eCSUxIlUsnBXfXpvnWnhGnGNPxJ3rg2vHG2/9zGn8WnNfNzJ1JJXhr9p1VVV1X3SJjmSsMf Dplcdrq/UTP/VVSpBDvxosOq+5IGzfwXEqlw1MT6KcL0rUQqpzjlOu7TukwDFyG1nunLiVQI MDeaL2HfRqTCUZr5dEQqbLPQZ1pUVfFvhmwaU7uIJlJhD5Upk8xLhW2GN3yuKnlKR5UKa6lM +UqkwnfClJVEKiwRpmwiUmGaMGUHkQpDwpTdRCr82hSmy+tPm5f6TiIVfgyW4Pu6/+RS07yc eanwx6b1TCcXS+XNVKnwY1+fqSqVPpEKBqAIo+EPEEakAoQRqQBhRCpAGJEKEMaIP8QbXIVV fz4mFbyESIVIc/fva7cL1uyJVAjz9X6oXbnav+bKxQI5EakQr6tGu+K0S9v68ymq6s89AS0U kBHDUxCjC83J1n1/4yBALRSQE5EKFxmUrmRJpEIkA1Avpy8VTlQVRVEU445SLf1ciVS4gfGo XIlUiDSc1V/N7DaqUoVsHkQqXGRuSoBJVDkRqRCjm3w6efnp5Ch/W6vK05yIVIj3G6BVUVRF XQ1vFChMcyVSIUz/Kqkf1XCHQks/ayIVIv2E5qiZ/zvPv64Lw1P5+jRmJhPqU3+KomhK/66K wm/jrzf8Nlw9BTfoalVz/jMjUuFq/b5Ua6ZkRqTCpcZjU1I1JyIVbmNIKj8iFSCMSIVLjZv5 pqnmxCQqgrUTZWCOSVQArKJKhRO9YXI7fapUgDCu8Ycwc9NL++tOze1jhCoPGv4QaTB8P9nw N8SfMQ1/iLTmUiiXS2VMlQonMjz1NqpUuNp4qv9dR0I4kQqXsmxK3kQqROqHY/e9xHwPkQph 5oby1aHvYXgKwoxzsyqq7mvRm5raT15zqnIiUiFMPxzb77sR/3GMdt/L05yIVIg0yMo2Uqui kpsvIVLhRON5qS5IzZtIhROZ6v82lk2BSDpJX06kQpiFMShewrxUgDAiFSCMSAUII1IBwhie gkiTQ1L9G6WQN/NS4UTmpb6Nhj9AGJEKEEakAoQRqQBhRCpAGCP+cKLP51MUhU/Ze6hSAcKY 6g8nqu4+AC6mSgUII1IBwohUgDAiFSCMSAUII1IBwohUgDAiFSCMSAUII1IBwohUgDAiFSCM xf0gQP35bH1K6aOXI1UqQBhVKsToCtWF8nPNPiRNpEKYfvN/HJry9A00/CFMPysHvavy9CVU qRBvEKDy9D1EKpxiPAdAnr6Bhj+cYhCg8vQlVKkQoK7r/sOyLH+2fz7F5FBVXbf7DJ44eDrJ cYdUOKrLx/GWsmnquh7v0Df+0fL+PJmGPxwyGX9lWfbLz8HDr7buz3OIVDiFMvOdRCpcQeH5 EvpSIdKgvX/jkXALVSpEKv+Z/JFCNXsiFa4jVbMnUgHCiFQ4ZLLwXJhYuqZQNS81XYan4Khx Si4H4mD/ccLK03TtuSD1U3+acvpZn/rPUhFN2cztPN4+eG73ClsPb+7All/q6w4r32Vy+5pX bp8b9fcFbrG5Sp1Ljc6RUBg/NyTpJl956w5H3uiaQAduN92XOpebOz75baF6/HUAnm9DlXpv qdW+eL913E/q/vtObu8f25Eduh/t/puOX7zdouEPGQgenpoMo0GP6u7kXXiR7uHc9rktm3Y4 /reYfPGFHmcgLX8itR+Ig3Js5Wd+Oa2+GncR9F9hR+jEdqGuH2U68i5Auv5E6tcacNnx4Nj0 CssDZZNTBYte325TNmdcx/L19/Z1fA9I19qG/yAItlagXds2sIX79XX6k/uquuoWUe/3YHYv UtVVyFENjnD891WxQsZWXT3V9vd1f4r5qULBR3emqqgmZyMA7DYdqSGT3sfV2XmDMAuzvgZb qqJqv7nmApXl1BbokJmAEf8uKK8s+gbvNZhd0H5f1dU4wauimpt9tfzKBw918lekEwAyk+0d UueGnsa3XZvcDrBDzsum9FNybmmf35sDW/sHOOwti/tZ+he4wFsidUzCAuFeFKkKVeBsOfel jrWp2vaZDhJWRypwXLYj/gDXe1HDH+BsIhUgzOsitf586s/EJV6T2zftDPC6SAU4z7sitSst BzXm5PZNOwMUb5tERTF1Y/C7jgTy864qlcm71d5yJJClF0Xqyvb73HjU+p2B19rZ8H9KaVN1 X9Yqm6aYisLB9u6bsmnW77z6kDce9Bmq36+3n02dD2TjRVXqDqVLy4AtdlapTykrjl2XP1dd Lrf957avzN/blxJ41PDU7QUyxHpplTqIv+7hZCxu2vn5+hn6lP81Qi5eGqnh0orXpmyqB3Tn Qn5E6qy0UhJ4gvdG6lz7fbntv2Zn4LXeG6kA4XJegnpu0f5N2yfvnJrB7VTbiQq3V9ntiL9R MvLRZKqqqsmHB7dPbklRVRTVA85+URVFdf9hQBQN/20yqE+B82QbqWcEnzwFlmUbqeHkKfDV KyL1eBq2r9AfvwIYe0WkHtQlslQFluW/qv/xEjXj9v7WNV+AZZlXqeEdoLkWqu09X62oDQfl HKknDSjlkapl06hMIVy2V0+NU69/QdR449z2uVxOegLAZDV6S8K6eorMZBupjB1P0vD/kYhU MpP/8BTF/L22JvacD82kC3O4Rs59qeww11MsT2ENDf8XWd/w7wdom7An5emmhv/4qIpRb/jg OOd2G2yc3A32uGu9Fm5UFcX4z3CfqmrOX3Zr00pUk8uD9TfOLSc2fu746/gpsIOG/xuVTVOO JlEN5qW2PQAPrNoGR9V+P1mfDnabmwTywL8j6RKpL7VmYn9CM3DXxOLgquJU/mqkRaS+SHeJ 1OQEgHHdWiSVqgvqf9qHcys2PLMqJy0mUb3CpoGp5Y0phk7XObCwjzwlhEh9qck8LVJIzEEn 71wUzu2W683EeAiTqF7kOdehdp4wiWpQvcpWjhCpb7ScrQsN5PC4ueuCVGUpJxGprzaRrVW1 kDWu8YdlRvwBwhieeqOFhn8GU6bgRiL1RR44PAWZ0Zeam+lJQqsX9yveMTwFJxGpCfvaSP+d crQlUq8kUsmMSE3b1+VC/vzoeQ1/kUpm9KWmbdN6Ub8zT3vZOr7v9JUNf8iMSE1et/zH+rxb ytZr56VCZkRqDhauXp/zdWU/YAeRmo+vC/EtxOiaVj/wlUjNSkIDU5AlkZq2hZVMF/oBFsJ0 udTVkQrLTKJK2CA0v64iOqhVn1ClmkRFZlSpuVkY/f+5iv9fsNafzxNS9QnGM8lgH5GalTWD /oNgpa/9tQhWdrO4X1b0dYZYc/tYmKRK5Y/16wY8SsjNTsYdI4WKlY1EKn9susL1UaKOWbBy hIY/Q18vGXiDsmn6MaorgJVMokrYkUb6Q4qvkElUx8vq5d/GAyef8Vga/glLsXl+koVLHo7T FcB6IpUczF3yEPkWgpUV9KWSvCur9bJpiqrqHrZ9rIMemLpn8PQ1Wwbb557y9YncQqTCdlX1 pz6tqt/qta7LnvUZukBKJkSkkrzrE+dnqtnUrIBByTxO1R0TKiafMpfXetjvpS+V5A3C5eJM KZumruuuN0Af68upUslBv6192Tv+yfEt81hPKlSVqE8gUiHO3z5WFwi8kIb/S1VFURTFQ0qa dsL/d1X35RHmLt4drvVVVfVgOGv03K7YXCgzJ9+u26hEfQiRCqeYnMfan4D1Z2dpmAuR+lbV 3QdQFMXWS1FPi53dzfPxyNiwWqyqsiwnK9bYHtXZ245N7b/pTdlEpMIhk6naf1jMX3kVlarL +3ff6xy4gGVTXspNn/qunPl04yIsIvUCRvzhUnctGyhPryFS4QbWY82VSIXbXBasStTLiFS4 mYo1J0b84ZCF5QXGtWE3LX/8Ouetx6pEvZJIhf0GabUyvPoXTQ2vhrLQdeI0/GGnuctDj7+y roB0qVLhoaIq1rRa/eMFH9KaPa1KhUdTsaZFpEIC3hysaxcqewYN/7eqiqJ4zOp+rDO9ulW0 6s9/HiGhVFWlQkreU5wmSpX6UtXdBxDrlntPjVfVGzwcrzN95NguW2/l3qZL6sNTIpXk7Zsc GuLrnQT7O+w+qhsXr7peG6BdsKaVp4XF/V4rpznkxzP0sb+NV4XpQKLrT6pS4YneHKZJE6lk 4nj7+iGEadJEKjkIHAW6kTDNgEglB4lmaEeYZsO8VNim62EYr5DSbplbOWVy++A6qMFVUiRH pMJ+R9adEqZZ0vAneV8nh5791pNL/C0sR62ZnzGRSg5S6UsVptnT8IdDJpedHmys67qoKs38 N1ClwrlUpq8iUvO3sHbR3I8u+9hvW7St6r48y2yPqjB9H5EK8YTpa4nU/JVN033CFz7ba/Y5 ydqlMU4bgjq+CGnXeTp8qapKZeiMEIanXqFLycns6E+QVE/tV1VFVXWPDEC9k8X9XmQyNwfD 0Bcf0kMWcDu4uJ9m/hke8m9jKw3/F+l6AOrPZ3AXIymwjzBlQKS+Sz9V+xvvO6JUCVMmidTM DWahl2XZH60qRlnQTQaavHrdSEshTFkkUnM2d6X5b6r2hlPGxgGa7lKkIYQpXxnxz9Zk/HVz fcqmaef3bFpLaev+2bBqFCupUl/nzWXmDipTNlGlvt1rC8+vVKbsoEp9i7tWFE2RypTdROpb 9O92N/7Ry8edOsKUgzT8KQrN/6IoRnN15Sk7qFLhD0nKEarUbE0WngsN/DWFat79AypTjlOl 5mycksuBOHF7j9EOgYf3HJKUKPtXovrUnysXiekv/95/3/DDuPjv9XKJrjbEBRL9t/GgKnUh ywY/6j9M7jcOZCyBvtRx1DZls+2eRQCXCIjUNt0+7bUmvaRb3j7erdt5zZt2ITt45e4Vuu1z h9HfKKCBEDEN/34hueb7sbbwXGj4d7utPIavh7fQmQCwT0ykzoVRSEgNgm/NKw96BiZ3FqBA uAcNT62xsuZdT5MfCJRYpMZa6CuIMjd53urO+Vlzri1ek70EIvWkXs7LOk8nPzmDAHV9fR6W z/X4pEvV/Jw7iepr6beyNlwYbjrysrv3j+WjBdk4t0rtDxP1J+f3N47nV41noRZ/U29uuGnu Zdcc242pKk9fwol+g/2ROnf90vLD8caV10GtmVSwZmR/bn+XYwHHJdCXutJjJ5a6e/N7rD/X entylU+krpmLegsjEu/hXHPi8NT1oda0C16WzXPydMDi+e+xcK6lbcYSWDYFciJP8yZSr6ZQ fY/xuZan2ROpN5Cq79E/1+03dc+th8Yp9q/qD8clunI7F0j034YqFSCMSL1Hu/L1yu2bduaB jp9W5zoVIhUgjEi9QVduDOqOye2bduaBjp9W5zohIhUgjEjlHv27KLq3AtkQqVdb2X6fG7hY v/OTjTM011QNP63Jneu32blsSq4fgJ2q7staZdMUUx+Pwfbum7Jp1u+8+pA3HvTJkvlHVXVf 1go5rYOdUz/duVKlJqB0OUaONp1W/wZSsbNKTe6ShnMdu2h7rtzY1O7r1zJr3vTe68wnC9Jk /lGdcLp3/xtI4nS/iir1ToPPQ/dw8nOyaeeHG6dnMnl6wPHTOrczz5HPEtQUSX3G3pChvJAq 9ekSSknW05GaK5F6s7mG3nK7TwMwUcdPa9IdPm8gUgHCWC8VIIzhqdP1F28f3EFz/fbJG2y4 68Yzjc+Lc/0iDWeqqmry4cHtk1t4gqqq5k7i4KFznSV9qUlSszzTGefFuU6LSD3XGR8Gn7HH kqeI1MT4jL2Hc50ikXqd45+Q9hXcrPgNnOtEidRkdInsk5Y95zpdIvUix0tUbcD3cK7TJVKv EN4ppnh5D+c6LSL1dCcNMvikvYdznRAXpJ5r/EnoXyQz3ji3fS6XDQo/0BlXTy1s51FEKkAY DX+AMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxI BQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSA MCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgj UgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIV IIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHC iFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxI BQgjUgHCiFSAMCIVIIxIBQjz390HAGvVdV2WZfd9+023ZbDD8m6DjZO7wR4NJKKqqsE3g439 7Qu7TX4dPwV20PAnMYNStP1+sj4d7NaVooPnqkwJJFLJwZpY7AK0zdZBwtZ1Pc5l2Eqkkr/6 n/bhIFu7jZOVLGwiUslfG5d3HwWvIFJJzKCWnKsrx7t1va6DPVWmBPo0TXP3McAqJlHxfCKV NzISxUlEKkAYfakAYUQqQJj9kfqpP4HHsebtuj+nHsbFfy8gJw9aNuVTf5pyumN38KP+w7mn AFwvgYb/OGqbslFLAg8UEKltuo1b5cvbx7t1O6950y5kB6/cvUK3fe4wivnOBIB9Yhr+/UJy zfdjbeG50PDvdlt5DF8Pb6EzAWCfmEidC6OQkBoE35pXHvQMTO4sQIFwDxqeWmNlzbueJj8Q KLFIjbXQVwCwQxoj/ie9rLY/EOvcSP2ahivjcmG46cjL7t4fYNK5Df/+MFF/cn5/43h+1XgW avE39eaGm+Zeds2xSVXguBNXorq3Za1dz3r15+d/qKWF2Tgmgb7UlZSZHNde+XH3UZCwfEb8 18xFhTXaVFWxsoMlqEnPwg1Ril03O+ln6KBKFaxskk+VyktM3o9v+Q5UmwyCVcXKJvn0pfIG l90zqmyafozqY2UlkUpKLr4Hn2BlK5EKXwhW1hOpsIpgZQ2RChsIVpaJVNimruvlYK17xs/9 umWwfe4pX5/ILUQqbNbG1mSwtnMSOusz9OvbkQSRSvLa5OpcMCugn5Vl0xRV9fuzqupXrONU nczZ9W+3vPGySWbMMdWf9IxT4/YccYEALVUq7DFdbFbVmsGrkwpVJeoT7KxSLfvEDaruy6MN 1wqoqvpv1JIxVSrstFxsLs8KGBeYkzMEvr5dt1GJ+hA7q1RL53GD0xLjvLmlZdPUdf07fjVT sUrDbBiegv0GlWP7cGJZrLIspgavAntUF0L54MqHbCJS4ZDJVO0//P3+b8X6k7D9CVjb3+6r 2JUP+coS1HDDnKfLFroWqRczPAU3sFZArlSpcPPM/LMrVn2pV9KXCjc79corDf+LafjDI+gK yIMqFQ5ZaFZP3sl1bsi+3dNaAakTqbDfvmZ1t8/c/oI1XSIVdhoH4tdZ95uEBOvCPNnH6i8h ktyFmiIVHu14sCYRo53Bkkyf+pNWqhqeggQYvEqFKhWSMVmxhqv+/Od+ty8luqlMVqVCShSn D6dKhTRctizAvT2v45o0rb5UkUoObhnUnl3Kb2aH3ZMBLgvTJ2jKxog/3OnGay6/TlH6cy/V 7Uf1qjDttDF6exfqPiIVDvkalAs7LK0b/cowzYBIhWcRpkkTqWRl661HHkWYZkCkkrxBf2WK qSpMsyFSyUFa11z2CdPMmOoP23RV8LgcbrfMlcmD7YOLSgeXnJIokUry+lF18ar1+zoZhGnG NPxJ3sG5n8ffes0Sfz+LT2vm506kkoME+lKrqq6q7pEwzZWGPxwyOcegv1Ez/1VUqSTj8/kU D1pz7jvN/BcSqXDUxPopwvStRCrpqIqiKMoTliYKXIR0HKYpXnrAbiIVAsyN5l88qYvbiVQ4 SjOfzqdx+klEu4DmGWsS77ufcyFMz3Te6T6VKhX2EKZMEqmwjTBlgUiFtYQpX4lU+E6YspJI hSXClE1EKkwTpuwgUmFImLKbSIVfwpSDRCr8GCzBd+ORkC6RCn8IU44QqfBDmHKcSAVhShg3 SgEII1IBwohUgDAiFSCMSAUII1IBwohUgDDmpaZq7lbGf+4m39vHfTofZevpK5zBRIjUhE1+ xrq7HA9ud+zux0+zfPoW9uHJNPwBwojUt1DvpEWrIlEa/pnr+uN8PpOjKzxFIjVhk0Mcc/2n qp6n+Xr6dIWnSKQm7OtHzofwyZZPn3OXKH2pmSjLcm5eDs/n9GVDpMITSdhEidR8qHSStnD6 dKQmRF9qVtqPZfvxG3xEfSafb+H0kYpP4xYRJOJTf4qiaEr/Yl8h0dOt4Q8QRqQChBGpuak/ n/rzWbl9085c4/iZcvpuJFIBwojUrHS1yaBImdy+aWeucfxMOX33MomKBLSDv/B8qlSebpCn 4pUnE6n5WNl+nxvlWL/z7XJN1fAz9czTlzcN/6tti4Oq+7JW2TTF1GdpsL37pmya9TuvPuSN B71dMqladV/WCjlTg50feAZzpUp9tdK1c4nYdKac1hupUu+x9jK7Y9flz9UmmxqJ/cJnzZuG LyUwLkhTukjxhDO4+7TedQZfRZWap8GHp3s4+aHatPP1BgGaUp4ecPxMze3MqXXQB2sAAAIA SURBVFSprHLvB/IlMUoGVKnvpWxJhY7UhIjUbM21CpcbiVqLz3H8TD2tD+cNRCpAGEtQXy18 Yd3xXTTmFvOf3D55Ew535riM05ebhmsVVVFUYb/2qqqqqhpsmXy4cvvkFk7i9OVHwz9hZxQj CpzLOH1ZEqkJ84FMmtOXJZHKDx/IpDl9DyFSKYp/H0h3OU6U0/ccIpXCveOT5vQ9igtSL1cV RfGspSk0GJPm9D2KKpU/VDpJc/puJ1KvVj1+bV8fy6Q5fffS8M/N4BPVtQrnti+8iBbl9Zy+ 1Lkg9WrtksClXzvkSMMfIIxIBQgjUgHCiFSAMCIVIIxIBQgjUgHCiFSAMCIVIIxIBQjjgtQT tdeebuJCVUiaKhUgjCr1XF2hulB+rtkHSIJIPd1CYvZ7BuQpZEDD/3RdVg66VuUp5EeVepFB raqxD1kSqdcZTwCQp5AZDf/rDAJUnkJ+VKlnGdxSrbsR0NyNUrqbBU3ei819hCAJbud3ivHN 1LotZdPUdb18t7Xxj9ydDZKg4R9vMv7Gd7jcdGdgdxKGJIjU6ygzIXsi9TYKT8iPvtTTDdr7 Nx4JcDZV6unKfyZ/pFCFnIjUm0lVyIlIBQgjUuNNFp4LE0vXFKrmpUISDE+dYpySy4E42H+c sPIUkuCCVIAwGv4AYUQqQBiRChBGpAKE+T+Ry4rtSuDpCwAAAABJRU5ErkJggg== --------------080004070206040605050201 Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline -- http://www.piclist.com PIC/SX FAQ & list archive View/change your membership options at http://mailman.mit.edu/mailman/listinfo/piclist --------------080004070206040605050201--