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dsp.fir: drop x shift
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01847271c5
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@ -70,7 +70,7 @@ class ParallelFIR(Module):
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# input and output: old to new, decreasing delay
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self.i = [Signal((width, True)) for i in range(p)]
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self.o = [Signal((width, True)) for i in range(p)]
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self.latency = (n + 1)//2//p + 2
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self.latency = (n + 1)//2//p + 1
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w = _widths[arch]
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c_max = max(abs(c) for c in coefficients)
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@ -83,22 +83,17 @@ class ParallelFIR(Module):
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# Delay line: increasing delay
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x = [Signal((w.A, True), reset_less=True) for _ in range(n + p - 1)]
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x_shift = w.A - width
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# reduce by pre-adder gain
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x_shift -= bits_for(max(cs.count(c) for c in cs if c) - 1)
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# TODO: reduce by P width limit?
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assert x_shift + width <= w.A
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assert sum(abs(c)*(1 << w.A - 1) for c in cs) <= (1 << w.P - 1) - 1
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for xi, xj in zip(x, self.i[::-1]):
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self.sync += xi.eq(xj << x_shift)
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self.comb += xi.eq(xj)
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for xi, xj in zip(x[len(self.i):], x):
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self.sync += xi.eq(xj)
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for delay in range(p):
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o = Signal((w.P, True), reset_less=True)
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self.comb += self.o[delay].eq(o >> c_shift + x_shift)
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self.comb += self.o[delay].eq(o >> c_shift)
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# Make products
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for i, c in enumerate(cs):
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# simplify for halfband and symmetric filters
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@ -117,8 +112,8 @@ class ParallelFIR(Module):
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self.comb += q.eq(reduce(add, [x[j - delay] for j in js]))
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self.sync += m.eq(c*q)
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# symmetric rounding
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if c_shift + x_shift > 1:
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self.comb += o.eq((1 << c_shift + x_shift - 1) - 1)
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if c_shift > 1:
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self.comb += o.eq((1 << c_shift - 1) - 1)
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class FIR(ParallelFIR):
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