Signal　distortion　can　occur　when　the　gain　or　attenuation　of　a　component　changes　non-linearly　with　frequency,　which　is　referred　to　as　nonlinear　frequency　response.　Common　communications　components　such　as　filters,　amplifiers,　and　mixers　can　lead　to　nonlinear　frequency　responses,　which　can　cause　errors　in　transmitting　and　receiving.　This　article　outlines　the　design　and　demonstration　of　a　static　and　dynamic　finite　impulse　response　(FIR)　digital　equalizer　circuit.　Using　predistortion　topology　with　a　coupled　feedback　loop,　the　adaptive　Least-Mean　Square　(LMS)　algorithm　was　implemented.　The　FIR　filter　was　simulated　in　MATLAB　and　Vivado　and　then　implemented　onto　an　Eclypse　Z7　Field　Programmable　Gate　Array　(FPGA)　evaluation　board.　Simulations　showed　that　the　custom　RTL　module　gave　the　same　frequency　response　that　was　produced　in　MATLAB　calculations.　The　filter　was　able　to　dynamically　equalize　the　frequency　responses　of　different　nonlinear　boards　that　were　used　as　the　devices　under　test　(DUT).　Measurements　showed　that　the　equalizer　was　able　to　compensate　for　system　distortion　from　0.2　to　0.8　Nyquist　frequency.　The　phase　response　remained　relatively　linear　across　the　band　of　interest,　with　a　group　delay　flatness　less　than　10　ns.