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A transistor level implementation of an improved matrix multiplier for high-speed digital signal processing applications based on matrix element transformation and multiplication is reported in this study. The improvement in speed was achieved by rearranging the matrix element into a two-dimensional array of processing elements interconnected as a mesh. The edges of each row and column were interconnected in torus structure, facilitating simultaneous implementation of several multiplications. The functionality of the circuitry was verified and the performance parameters for example, propagation delay and dynamic switching power consumptions were calculated using spice spectre using 90 nm CMOS technology. The proposed methodology ensures substantial reduction in propagation delay compared with the conventional algorithm, systolic array and pseudo number theoretic transformation (PNTT)-based implementation, which are the most commonly used techniques, for matrix multiplication. The propagation delay of the implemented 4 × 4 matrix multiplier was only ~2 μs, whereas the power consumption of the implemented 4 × 4 matrix multiplier was ~3.12 mW only. Improvement in speed compared with earlier reported matrix multipliers, for example, conventional algorithm, systolic array and PNTT-based implementation was found to be ~67, ~56 and ~65%, respectively.