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On the design of high-complexity cosine-modulated transmultiplexers based on the frequency-response masking approach

机译:基于频率响应掩蔽方法的高复杂度余弦调制多路复用器设计

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Two efficient techniques exploiting the frequency-response masking (FRM) approach are proposed in order to make it feasible to design prototype filters for highly selective nearly perfect-reconstruction cosine-modulated transmultiplexers and filter banks (CMTs and CMFBs) having a very large number of channels. In these design schemes, the number of unknowns is drastically reduced when compared with the corresponding techniques for designing direct-form prototype filters. Furthermore, in the proposed techniques, the main figures of merits, that is, the intersymbol interference and the interchannel interference for CMTs and the overall and aliasing distortions for CMFBs are taken into account in a controlled manner. In order to speed up the convergence of these two optimization techniques, simplifications for computing the resulting nonlinear constraints and the corresponding gradient vectors are proposed. They differ from each other in the sense that the first and second ones utilize the frequency-domain and time-domain constraints for controlling the figures of merit, respectively. Combining these two techniques results in numerically efficient algorithms for designing optimized CMTs (or CMFBs) with a reduced computational complexity (number of arithmetic operations per output sample), particularly when both branches of the FRM structure are required. Design examples are included illustrating the efficiency of the design methods and the high performance of the resulting CMT structures.
机译:提出了两种利用频率响应屏蔽(FRM)方法的有效技术,以使其可行,从而为具有非常高的数量的高选择性,近乎完美重构的余弦调制多路复用器和滤波器组(CMT和CMFB)设计原型滤波器。渠道。在这些设计方案中,与设计直接形式原型滤波器的相应技术相比,未知数的数量大大减少。此外,在提出的技术中,以可控的方式考虑了主要优点,即,CMT的符号间干扰和通道间干扰以及CMFB的整体失真和混叠失真。为了加快这两种优化技术的收敛速度,提出了简化计算所得非线性约束和相应梯度矢量的方法。它们在第一和第二个分别利用频域和时域约束来控制品质因数的意义上彼此不同。结合这两种技术,可以在数值上高效的算法中设计出优化的CMT(或CMFB),并降低计算复杂度(每个输出样本的算术运算次数),尤其是在需要FRM结构的两个分支的情况下。包括设计示例,这些示例说明了设计方法的效率以及所得CMT结构的高性能。

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