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On Fri, 14 Oct 2005 17:16:21 -0400, Ken Scharf
wrote: wrote: For filters I use microprocessor crystals in the ladder configuration. With the correct shunt C and 4-8 crystals you can make a very fine Allison KB!GMX I managed to buy over 400 pcs of 8.3886mhz crystals on ebay, for just pennies each. I am planning on trying to build ladder filters with them. These crystals are in the larger HC6/u size holders which are supposed to work better than the miniature size used in the micro- processor crystals. The HC6 parts work fine as do the HC18, 49 and so on. The real trick is doing the work to measure and check the crystals for use and then calculate the capacitors and termination impedence based on that. For a little work you get fine filters dirt cheap. First step would be to build the DDS vfo for the radio since I can program the DDS to function as a sweep generator for aligning the filter. With the DDS sweeping the output frequency while providing a sawtooth ramp to drive the scope sweep in step with the frequency sweep I could see the actual bandwith plotted on the scope. While I have a DDS to do that with I found that using the first "high" crystal in a VXO that gets calibrated worked as well with a lot less fuss. Then I can use the same osc to sweep the filter later to test it by adding a varicap doide. Allison |
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On Fri, 14 Oct 2005 19:38:37 -0400, Ken Scharf
wrote: That would work fine, but with the DDS, I can program the actual frequency range to be swept and probably be able to calibrate the scope face to read the actual frequency 'break' points on the filter. Using the vxo method will get you a working filter quickly no doubt, but I will still need the DDS vfo for the finished rig, so I just figured I'd do that first. Makes sense. I found the other way easy when DDS chips were 55$ each! The varicap sweep is calabrated to the scope so that was not an issue for sweeping the filter. I found that using wideband noise and a sound card was better. How many 'rocks' did you use in an SSB filter? I've seen some designs on the web with 6 crystals, would the shape factor be any better with 8 or more? (with over 400 crystals in the junk box I can go crazy, but I'd still have to find the capacitors :-). I'd say 4 is a useable minimum. With that I'll add the skirts at 40db down are not very good though. I've used 6-8 to get a good 6-60db shape (under 2:1). There is a problem if you go for too many. The filter can have enough group delay that while it's shape is good, the sound has a hollowness. The caps, once you figured the qalues you will likely end up using parallel values. IE: 232pf may be a 220+12pf or a 220 and a 4-20pf trimmer. Allison |
On Sat, 15 Oct 2005 00:24:39 GMT, "Dale Parfitt"
wrote: Just sweeping a filter designed for SSB would be fine I suppose. I recently had an opportunity to hear the difference between a stock FT-1000 CW filter and one homebrewed with attention paid to group delay- the difference was very clear to hear- in favor of the homebrew filter. \ Dale My prefered filter has a gausian to 6db shape for less ringing and group delay. I work for that goal. However, try the KK7B Phasing rigs for sound. They are direct conversion SSB (image rejecting) so all the selectivity is in the audio bandpass. I use a miniR2 and T2 pair on 6m and filter artifacts like group delay aren't there. Transparentcy is a good word to describe it. Allison KB1GMX |
A common mistake in years past was to try to put all of the selectivity into
a single super-deluxe crystal, mechanical or digital filter. These filters quite often have "raspy" noise interference at the edges of the passband (especially in CW mode) due to the enhancements of spectral noise peaks at the very sharp band edges, caused by the conversion of the phase statistics of noise to amplitude statistics (each edge of the filter acts like a phase disciminator). This raspy noise interferes with weak signals. The filter can be equalized for group delay, as mentioned, with improvement in the problem. The band edges can be softened, with good results. A much better way is to use two or more intermediate-performance filters in cascade. This method softens the edges so that the effect is greatly reduced. It also improves overall shape factor. A cascade in this manner of identical bandpass or audio lowpass filters tends in the limit toward the Bessel or even the Gaussian response. Digital filters can also use a method called Transition Band Sampling (see Oppenheim and Schafer 1975 or Oppenheim and Willsky 1983). All of these results are related in principle to the Central Limit Theorem of statistics. The cascaded filter approach is also very beneficial in other respects, in particular the reduction of wideband noise in high-gain IF amplifiers. This noise degrades AGC performance and adds audio frequency noise to the product detector output. Bill W0IYH "Dale Parfitt" wrote in message news:b%X3f.301$W32.225@trnddc06... Just sweeping a filter designed for SSB would be fine I suppose. I recently had an opportunity to hear the difference between a stock FT-1000 CW filter and one homebrewed with attention paid to group delay- the difference was very clear to hear- in favor of the homebrew filter. \ Dale |
Receiver bandwidth .. dayton filter find!
"William E. Sabin" wrote in message news:6J84f.437250$x96.418250@attbi_s72... A couple of improvements in the following paragraph: The filter can be equalized for group delay, as mentioned, with improvement in the problem. The band edges can be softened, with good results. A much better way is to use two or more intermediate-performance filters in cascade. This method softens the edges so that the effect is greatly reduced. It also improves overall shape factor. A cascade in this manner of identical bandpass or audio lowpass filters tends in the limit toward the Bessel or even the Gaussian response. Digital filters can also use a method called Transition Band Sampling (see Oppenheim and Schafer 1975) Delete the incorrect second Reference to Oppenheim and Willsky 1983. All of these results are related in principle to the Central Limit Theorem of statistics. See http://mathworld.wolfram.com/CentralLimitTheorem.html for this interesting topic. The general idea that the theorem alludes to in this example is that as sharp-cornered filters are cascaded the passband response becomes noticeably more rounded at the corners, similar to Bessel and Gaussian filters. Smoothing and Windowing methods can be used to reduce sharp corners in discrete sequences such as digital filters (see Oppenheim and Schafer 1975 and many other sources). Bill W0IYH |
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