建立双边沿采样Flip-Flop底层逻辑
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74
src/main/scala/util/DDFlipFlop.scala
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74
src/main/scala/util/DDFlipFlop.scala
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package BACK
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import chisel3._
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import chisel3.util._
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class DDRegInit[T<:Data](init: T, pclk: Clock, nclk: Clock, reset: AsyncReset){
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private val pReg = withClockAndReset(pclk, reset) { RegInit( init ) }
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private val nReg = withClockAndReset(nclk, reset) { RegInit( 0.U.asTypeOf(init) ) }
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val value: T = (pReg.asUInt ^ nReg.asUInt).asTypeOf(init)
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private val next = WireDefault(value)
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def :=(d:T): Unit = { next := d }
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pReg := (nReg.asUInt ^ next.asUInt).asTypeOf(init)
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nReg := (pReg.asUInt ^ next.asUInt).asTypeOf(init)
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def apply(): T = value
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}
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object DDRegInit{
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def apply[T<:Data](init: T, pclk: Clock, nclk: Clock, reset: AsyncReset): DDRegInit[T] = {
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new DDRegInit(init, pclk, nclk, reset)
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}
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}
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class DDRegNext[T<:Data](d: T, init: T, pclk: Clock, nclk: Clock, reset: AsyncReset ){
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private val pReg = withClockAndReset(pclk, reset) { RegInit( init ) }
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private val nReg = withClockAndReset(nclk, reset) { RegInit( 0.U.asTypeOf(init) ) }
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pReg := (d.asUInt ^ nReg.asUInt).asTypeOf(init)
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nReg := (d.asUInt ^ pReg.asUInt).asTypeOf(init)
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val value: T = (pReg.asUInt ^ nReg.asUInt).asTypeOf(init)
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def apply(): T = value
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}
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object DDRegNext{
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def apply[T<:Data]( d: T, init: T, pclk: Clock, nclk: Clock, reset: AsyncReset ): DDRegNext[T] = {
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new DDRegNext(d, init, pclk, nclk, reset )
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}
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}
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class DDShiftRegisters[T<:Data]( in: T, n: Int, init: T, en: Bool, pclk: Clock, nclk: Clock, reset: AsyncReset ){
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private val pRegs = withClockAndReset(pclk, reset) { RegInit(VecInit(Seq.fill(n)( init ))) }
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private val nRegs = withClockAndReset(nclk, reset) { RegInit(VecInit(Seq.fill(n)( 0.U.asTypeOf(init)))) }
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// 移位逻辑:首位采样输入,其他依次移位
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pRegs(0) := (in.asUInt ^ nRegs(0).asUInt).asTypeOf(init)
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for(i <- 1 until n) {
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pRegs(i) := (pRegs(i-1).asUInt ^ nRegs(i).asUInt).asTypeOf(init)
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}
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nRegs(0) := (in.asUInt ^ pRegs(0).asUInt).asTypeOf(init)
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for(i <- 1 until n) {
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nRegs(i) := (nRegs(i-1).asUInt ^ pRegs(i).asUInt).asTypeOf(init)
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}
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// 输出为 pRegs 与 nRegs 异或
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def apply(): Seq[T] = (pRegs zip nRegs).map{ case (a, b) => (a.asUInt ^ b.asUInt).asTypeOf(init) }
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}
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object DDShiftRegisters{
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def apply[T<:Data]( in: T, n: Int, init: T, en: Bool, pclk: Clock, nclk: Clock, reset: AsyncReset ): DDShiftRegisters[T] = {
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new DDShiftRegisters( in, n, init, en, pclk, nclk, reset )
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}
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}
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