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This paper discusses optimization of decisions diagrams (DDs) by total autocorrelation functions. We present an efficient algorithm for construction of linearly transformed binary decision diagrams (LT-BDDs) and Linearly transformed multiterminal BDDs (LT-MTBDDs) for systems of Boolean functions, based on linearization of these functions by the corresponding autocorrelation functions. Then, we present a method for reduction of sizes of DDs by a level-by-level reduction of the width of DDs using the total autocorrelation functions. The approach provides for a simple procedure for minimization of LT-BDDs and LT-MTBDDs and upper bounds on their sizes. Experimental results for benchmarks illustrate that the proposed method on average is very efficient.