Multiplication of two numbers is one of the most area consuming arithmetic operations in high-performance circuits as it generates a
product with twice the original bit width. The truncation of product bits to the required precision of truncated multipliers offers
significant improvements in area, delay and power. The proposed method reduces the number of full adders and half adders during the
tree reduction. Usually the product of two numbers appears as output in the form of LSB and MSB. The LSB part is truncated and
compressed using MCMAT technique. In previous related papers, the truncation error is reduced using MCMT technique. In this
project, truncation error is not more than 1 ulp (unit of least position). While implementing the proposed method experimentally, there
is no need of any error compensation circuits and the final output is precised. Hence the area can be saved and the power is also
reduced. To further extend the work, digital FIR filter implementation with MCMAT technique is carried out using Wallace Tree
Compressor (WTC).