We present a software approach for MIMO-OFDM wireless communication technology. We first show that complex matrix operations like Singular-Value Decomposition (SVD), diagonalization, triangulariza- tion, etc., can be executed efficiently in software us- ing a combination of CORDIC and unitary rotation algorithms in a multithreaded SIMD processor. We then investigate and analyze the transformation of a MIMO-OFDM channel into multiple independent SISO-OFDM channels by means of the SVD. The algorithms are implemented on the Sandblaster proces- sor. The numerical results indicate that the CORDIC- augmented processor provides a significant reduction in the computing time of more than 47% over the standard Sandblaster processor when converting a 4- by-4 MIMO-OFDM channel into four SISO-OFDM channels. The technique is applicable to emerging wireless communication protocols, such as WiMAX and Wi-Fi, and provides the flexibility required to adapt to continually changing and evolving standards without the need for expensive hardware redesigns and respins.