Hybrid　filter　bank　(HFB)　analog-to-digital　converters　(ADCs)　are　used　to　achieve　higher　sampling　rates　for　medium-to-high　resolution　applications　in　many　communication　systems.　However,　the　analog　filter　realization　errors　and　channel　mismatches　severely　degrade　the　reconstruction　performance　of　HFB　ADCs.　A　general　error　analysis,　which　takes　analog　imperfections　and　channel　mismatches　into　consideration　based　on　a　single-channel　filtering　(SCF)　HFB　architecture　is　presented　in　this　paper.　A　frequency-dependent　model　(FDM)　for　sub-ADCs　output　is　then　derived　to　integrate　all　the　realization　errors　to　an　equivalent　channel-transfer　function　(ECTF).　Based　on　the　ECTF,　the　perfect　reconstruction　condition　is　derived　as　the　optimization　object　for　the　synthesis　filter　banks.　Finally,　a　two-channel　SCF　HFB　ADC　prototype　with　12-bit　resolution　and　200　MHz　sampling　rate　is　implemented.　After　mismatch　correction　with　64-tap　finite　impulse　response　(FIR)　filters,　75.75　dB　of　spurious-free　dynamic　range　(SFDR)　is　achieved　over　the　whole　bandwidth.　The　experimental　results　show　that　the　average　SFDR　is　enhanced　by　about　10-25　dB　compared　with　the　traditional　calibration　method.