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The investigation of new adaptive filtering algorithms for telecommunications echo cancellation implemented in TMS32010 fixed point assembly code

机译:TMS32010定点汇编代码中实现的用于电信回声消除的新型自适应滤波算法的研究

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Current state-of-the-art echo cancellers for telecommunications typically employ the least mean square (LMS) adaptive algorithm developed in the late 1950's and early 1960's. The canceller is usually implemented as a nonrecursive, or finite impulse response (FIR), filter structure. More recently, interest has grown in recursive, or infinite impulse response (IIR), adaptive filter structures for the echo cancellation application. Floating-point computer simulations have shown that adaptive IIR filters require less computation to match certain transfer relations than do adaptive FIR filters. However, it is a practical question as to how well these algorithms perform when implemented in a fixed-point environment, which is typically the case in practical situations. The authors examine the performance of several IIR adaptive filtering algorithms as implemented on a Texas Instruments. TMS32010 digital signal processor for echo cancellation in telecommunication environments.
机译:当前用于电信的最新回声消除器通常采用1950年代末和1960年代初开发的最小均方(LMS)自适应算法。抵消器通常实现为非递归或有限脉冲响应(FIR)滤波器结构。最近,人们对用于回声消除应用的递归或无限脉冲响应(IIR)自适应滤波器结构的兴趣日益浓厚。浮点计算机仿真表明,与自适应FIR滤波器相比,自适应IIR滤波器需要较少的计算来匹配某些传输关系。但是,有关这些算法在定点环境中实现时表现如何的问题是一个实际问题,在实际情况下通常是这种情况。作者检查了几种在德州仪器(TI)上实现的IIR自适应滤波算法的性能。 TMS32010数字信号处理器,用于电信环境中的回声消除。

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